The application of discrete time methods to position estimation in indoor wireless networks

In the recent upsurge of ad-hoc wireless local area networks (WLANs) there has been an increased demand for a new services portfolio based on position. This has been accentuated due to the rise of 802.11/16 enabled chipsets inside mobile handsets. These services include location sensitive billing, profile selection based on specific indoor positions, and new location based applications such as automated utilities distribution based on user density and location, all of which depend on accurate indoor geolocation. This paper proposes a solution for such a scenario whereby a client application measures and collects data from the radio environment and uploads the compressed bit-stream to a de-centralised server which identifies the location of the handset and configures the corresponding application according to the requested service, be it client initiated or server initiated